**Please read the paper on the following link:**

https://ieeexplore.ieee.org/document/9134399

**Abstract:**

This paper describes a 112–134-Gb/s PAM-4 wireline receiver (Rx) designed and fabricated in 7-nm CMOS FinFET technology. The Rx includes a T-Coil-assisted on-die termination (ODT), an adaptable continuous-time linear equalizer (ACTLE), a time-interleaved ADC (TI-ADC), clock generation, clock distribution, feed-forward equalizer (FFE), decision feedback equalizer (DFE), and calibration. The TI-ADC is implemented as a 56–67-GSa/s, 36-way arrangement of dualcomparator SAR ADCs (SAR subADCs). The Rx achieves BER better than 1e-4 for a data rate as high as 127 Gb/s, with 3.2e-4 BER at 134.4 Gb/s, over a 15-dB die-to-die loss channel and achieves 3e-6 BER over a 33-dB die-to-die channel loss at 28-GHz Nyquist while consuming 5.1 pJ/b of power, excluding DSP power.

A 112–134-Gb/S PAM4 Receiver Using a 36-Way Dual-Comparator TI-SAR ADC in 7-nm FinFET

**Please read the paper on the following link:**

https://ieeexplore.ieee.org/document/9205911

**Abstract:**

A 2.5-GHz clock recovery (CR) unit is proposed within an efficient 2.5-Gb/s ultrawideband transceiver fabricated in 28-nm FDSOI for low-power chip-to-chip communications over short distances. The CR circuit is made of two complementary phase-locked loops, one for fast frequency locking and the other for high-bandwidth phase tracking. Forward body-biasing is used to control a back-bias-controlled oscillator and recover a 2.5-GHz clock frequency. This feature allows to reduce both the supply voltage and the power consumption, while preserving the CR functionality over a wide range of process-voltage-temperature variations, including skewed process corners. The CR occupies a silicon area of 0.043 mm², locks in less than 1.1 μs, generates an RMS long-term jitter of 6.5 ps, and consumes 1.034 mW while in-lock. This results in an energy value of 0.414 pJ/cycle and a jitter FoM of −224 dB.

A 2.5-GHz Clock Recovery Circuit Based on a Back-Bias-Controlled Oscillator in 28-nm FDSOI

**Please read the paper on the following link:**

https://1worldcontent.com/ess/9234.pdf

**Abstract:**

A broadband 3-stage pseudo-differential SiGe power amplifier, fabricated in an experimental 130 nm SiGe BiCMOS technology with ft/fmax of 470/650 GHz, is presented in this paper. Coupled-line matching networks with optimized impedance ratios are used to maximize bandwidth and output power while maintaing flat power gain and group delay for wireless communications applications. The amplifier provides a maximum small-signal power gain of 17.9 dB and a peak Psat/OP1dB of 6.7/5.2dBm, respectively. The measured small-signal and saturated power 3-dB bandwidth cover 59 GHz (239-298~GHz) and 89 GHz (226-315~GHz), respectively. The DC power consumption is about 417 mW, resulting in a power-added-efficiency of 0.92\\%. This power amplifier has the highest absolute small-signal bandwidth and highest output power in the J-Band for a silicon power amplifier without additional power combining. Without the balun at the input and output, the amplifier provides upto 8.1 dBm and a small-signal gain above 20 dB in an integrated differential circuit.

A 239-298 GHz Power Amplifier in an Advanced 130 nm SiGe BiCMOS Technology for Communications Applications

**Please read the paper on the following link:**

https://1worldcontent.com/ess/9219.pdf

**Abstract:**

This paper introduces a phase shifter based on switched filters for mm-wave 5G MIMO transmitters. It is realized in 22nm FD-SOI CMOS and exploits the use of back-gate biasing. The new approach features strong tolerance to process, voltage and temperature (PVT) variations and thus can maintain low phase error with fine phase tuning capability supporting a large bandwidth. Measurement results show that the 4-bit phase shifter achieves 3.5 degree rms phase error at 28 GHz. The proposed phase shifter can maintain <5 degree of the worst-case rms phase error when operating across 24 to 29.5 GHz resulting in 20.56% fractional bandwidth which is the largest among the published switched-filter phase shifters to date.

A 28-GHz Switched-Filter Phase Shifter with Fine Phase-Tuning Capability Using Back-Gate Biasing in 22-nm FD-SOI CMOS

Dental caries and gingivitis are the prominent oral diseases among children with social disadvantage such as differently-abled children.  Oral health service utilization (OHSU) of these children can be even more challenging. This study evaluates the prevalence of dental carries and gingivitis and determines the factors affecting OHSU of the differently-abled school children in Katmandu, using the Anderson health care utilization model.

A cross-sectional study was conducted in the schools in Kathmandu that enroll the differently-abled children from which a total of 400 school children aged 7-18 years old were randomly selected for the study. The children’s oral health status was examined by a dentist. Data on predisposing factors, enabling factors, and need factors of the children were collected fromtheir legal guardians,using a self-administered questionnaire. A multiple logistic regression model was performed to assess the association of the predisposing, enabling, and need factors with OHSU.  

Factors Affecting Oral Health Service Utilization of Differently-Abled School Children in Kathmandu, Nepal

Dental caries remains a persistent major oral healthcare burden worldwide with little significant improvement in dental healthcare in the last 30 years. Intraoral/biofilm-tooth pH is the single parameter that has demonstrated accurate assessment of the caries risk, reflecting the summative integrated outcome of the complicated interactions between the three etiological factors, namely microorganisms/biofilm, diet/carbohydrates, and tooth/saliva/host. However, there is no technology/system capable of probing both the micro-pH profile in dentin tissue and acidogenic oral biofilm simultaneously, with high spatial/temporal resolution of pathophysiologic acid attacks. Herein, a highly sensitive pH-responsive Hybrid NanoParticle (pH-NP) is developed coupled with an ex vivo tooth-biofilm caries model to simulate key cariogenic determinants/steps in a well-controlled platform to decipher the mechanistic complexity of caries initiation/formation. The pH-NP emits two fluorescence intensities that can change in opposite directions with pH to measure with a ratiometric output sensitivity of 13.4-fold a broad clinically-relevant pH range of 3.0–8.0. Using [H+], in addition to pH, to calculate the “area-under-curve” corroborates with the “minimum-pH” in semi-quantifying the demineralizing potential in each biofilm-dentin zones/depth. The data mechanistically elucidates a two-pronged cariogenic effect of a popular-acidic-sweet-drink, in inundating the biofilm/tooth-system with H+ from both the drink and the metabolic by-products of biofilm.

Imaging Spatiotemporal pH Changes in Biofilm-Dentin Microenvironments using pH-Responsive Hybrid Nanoparticles

News recommendation is important for online news services. Existing news recommendation models are usually learned from users' news click behaviors. Usually the behaviors of users with the same sensitive attributes (e.g., genders) have similar patterns and news recommendation models can easily capture these patterns. It may lead to some biases related to sensitive user attributes in the recommendation results, e.g., always recommending sports news to male users, which is unfair since users may not receive diverse news information. In this paper, we propose a  fairness-aware news recommendation approach with decomposed adversarial learning and orthogonality regularization, which can alleviate unfairness in news recommendation brought by the biases of sensitive user attributes.
In our approach, we propose to decompose the user interest model into two components. One component aims to learn a bias-aware user embedding that captures the bias information on sensitive user attributes, and the other aims to learn a bias-free user embedding that only encodes attribute-independent user interest information for fairness-aware news recommendation. In addition, we propose to apply an attribute prediction task to the bias-aware user embedding to enhance its ability on bias modeling, and we apply adversarial learning to the bias-free user embedding to remove the bias information from it. Moreover, we propose an orthogonality regularization method to encourage the bias-free user embeddings to be orthogonal to the bias-aware one to better distinguish the bias-free user embedding from the bias-aware one. For fairness-aware news ranking, we only use the bias-free user embedding. Extensive experiments on benchmark dataset show that our approach can effectively improve fairness in news recommendation with minor performance loss.

Underline digital video library

A 112–134-Gb/S PAM4 Receiver Using a 36-Way Dual-Comparator TI-SAR ADC in 7-nm FinFET

A 2.5-GHz Clock Recovery Circuit Based on a Back-Bias-Controlled Oscillator in 28-nm FDSOI

A 239-298 GHz Power Amplifier in an Advanced 130 nm SiGe BiCMOS Technology for Communications Applications

A 28-GHz Switched-Filter Phase Shifter with Fine Phase-Tuning Capability Using Back-Gate Biasing in 22-nm FD-SOI CMOS

Factors Affecting Oral Health Service Utilization of Differently-Abled School Children in Kathmandu, Nepal

Imaging Spatiotemporal pH Changes in Biofilm-Dentin Microenvironments using pH-Responsive Hybrid Nanoparticles

Fairness-Aware News Recommendation with Decomposed Adversarial Learning

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